Says whether the targets are in the top K
predictions.
tf.compat.v2.math.in_top_k( targets, predictions, k, name=None )
This outputs a batch_size
bool array, an entry out[i]
is true
if the prediction for the target class is finite (not inf, -inf, or nan) and among the top k
predictions among all predictions for example i
. Note that the behavior of InTopK
differs from the TopK
op in its handling of ties; if multiple classes have the same prediction value and straddle the top-k
boundary, all of those classes are considered to be in the top k
.
More formally, let
\(predictions_i\) be the predictions for all classes for example i
, \(targets_i\) be the target class for example i
, \(out_i\) be the output for example i
,
Args | |
---|---|
predictions | A Tensor of type float32 . A batch_size x classes tensor. |
targets | A Tensor . Must be one of the following types: int32 , int64 . A batch_size vector of class ids. |
k | An int . Number of top elements to look at for computing precision. |
name | A name for the operation (optional). |
Returns | |
---|---|
A Tensor of type bool . Computed Precision at k as a bool Tensor . |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/compat/v2/math/in_top_k